Real-Time Video Analytics for Security

Transform passive cameras into intelligent security systems. Detect threats, automate monitoring, and respond to incidents faster with AI-powered video analytics that work 24/7.

Limitations of Traditional Security Systems

Reactive, Not Proactive

Traditional CCTV only records footage for post-incident review. Security teams can't monitor hundreds of camera feeds simultaneously, missing critical events in real-time.

High False Alarm Rates

Motion detection triggers constant false alarms from shadows, animals, and weather. Security teams waste time investigating non-threats, leading to alert fatigue and missed real incidents.

Difficult Forensic Search

Finding specific events in days of footage requires hours of manual review. Searching for a person, vehicle, or incident across multiple cameras is time-consuming and error-prone.

AI-Powered Video Analytics: Intelligent Security Monitoring

Our computer vision systems analyze video streams in real-time, detecting threats, recognizing patterns, and alerting security teams only when genuine incidents occur.

Intelligent Threat Detection

Our AI distinguishes between normal activity and genuine threats. Detect perimeter breaches, loitering, crowd formation, vehicle tracking, abandoned objects, and suspicious behaviors - while filtering out false alarms from weather, animals, and routine activity.

95% reduction in false alarms
Real-time alerts with video clips
Customizable rules for your facility

Advanced Search & Analytics

Find specific people, vehicles, or events in seconds using natural language queries. Search by appearance (clothing color, vehicle type), behavior (running, fighting), location, or time. Our AI indexes all video automatically for instant retrieval.

Search months of footage in seconds
Track individuals across multiple cameras
Generate activity reports and heatmaps

Ready to Upgrade Your Security Operations?

See how video analytics can improve threat detection, reduce false alarms, and enable proactive security. Get a free assessment of your current system.

Video Analytics Use Cases

Perimeter Security & Intrusion Detection

Create virtual tripwires and restricted zones around your facility. The AI detects when people or vehicles cross boundaries, distinguishing between authorized personnel and potential intruders. Advanced classification filters out animals, debris, and weather events.

The system learns normal patterns for your site - delivery times, shift changes, parking patterns. Deviations trigger alerts: someone entering after hours, vehicles in restricted areas, or unusual crowd formation. Integration with access control systems enables automatic lockdowns when perimeters are breached.

Case: Manufacturing facility reduced perimeter false alarms by 98% while detecting 100% of actual intrusions

Crowd Monitoring & Safety

Monitor crowd density, flow patterns, and potential safety hazards in real-time. Detect crowd surges, bottlenecks, and dangerous congestion before incidents occur. Ideal for stadiums, transportation hubs, retail centers, and public events.

The system counts people accurately even in dense crowds, tracks movement patterns to predict congestion, and detects unusual behaviors like running or fighting. Heat maps show traffic patterns over time, helping optimize layouts and staffing. Automatic alerts enable rapid response to emerging safety issues.

Case: Transit station prevented crowd crush incidents by detecting dangerous density levels 5 minutes before critical thresholds

Vehicle Tracking & Parking Management

Automatically detect, track, and recognize vehicles entering and exiting your premises. Read license plates with 98%+ accuracy, track vehicle paths across multiple cameras, and identify unauthorized vehicles or parking violations.

The system monitors parking occupancy in real-time, detects vehicles in no-parking zones or fire lanes, and flags overstay violations. Vehicle descriptions (make, model, color) enable searches without license plates. Integration with gate systems enables automatic access control based on vehicle recognition.

Case: Corporate campus automated vehicle access for 10,000+ employees while blocking 100% of unauthorized entries

Advanced Video Analytics Capabilities

Object Detection & Classification

Detect and classify people, vehicles, animals, and objects in real-time. Distinguish between cars, trucks, motorcycles, bicycles. Identify carried objects like bags, packages, or weapons.

• Person detection and tracking
• Vehicle type classification
• Abandoned object detection
• Weapon and threat identification

Behavior Analysis

Recognize suspicious behaviors and activities. Detect loitering, running, fighting, falling, unusual gathering patterns, and direction violations.

• Loitering detection (dwell time alerts)
• Fall detection for safety
• Aggressive behavior recognition
• Wrong-way movement alerts

Multi-Camera Tracking

Track individuals and vehicles seamlessly across multiple cameras. Follow subjects throughout your facility, create movement timelines, and identify patterns.

• Cross-camera person re-identification
• Vehicle path reconstruction
• Dwell time and route analysis
• Entry/exit correlation

License Plate Recognition

Read license plates at gates, parking areas, and roadways. Works day and night, in various weather conditions, with vehicles moving up to 100 mph.

• 98%+ recognition accuracy
• Whitelist/blacklist matching
• Multi-country plate formats
• Gate automation integration

Face Detection & Recognition

Detect faces in video streams for counting, demographic analysis, or recognition against watchlists (with appropriate privacy controls and consent).

• Crowd counting and demographics
• Watchlist matching (opt-in)
• Privacy-preserving anonymization
• PPE compliance (mask detection)

Heat Maps & Analytics

Visualize activity patterns over time. Generate heat maps showing high-traffic areas, dwell zones, and movement patterns to optimize layouts and staffing.

• Traffic flow visualization
• Occupancy trend analysis
• Staffing optimization insights
• Custom reports and dashboards

Flexible Deployment Options

Works With Existing Cameras

Our AI software integrates with your existing IP cameras and video management systems (VMS). No need to replace your entire camera infrastructure - we add intelligence to what you already have.

We support major VMS platforms including Milestone, Genetec, Avigilon, Hanwha, and open standards like ONVIF and RTSP. The system can process live streams or recorded footage, and scales from single cameras to thousands of streams.

Edge or Cloud Processing

Choose the deployment model that fits your security and network requirements. Process video at the edge for minimal latency and bandwidth usage, or in the cloud for maximum flexibility and scalability.

Edge deployment runs AI on local servers or edge devices, keeping sensitive video on-premise. Cloud deployment enables remote monitoring, unlimited storage, and easy scaling. Hybrid models combine both for optimal performance.

Frequently Asked Questions

How accurate is video analytics compared to human monitoring?

AI video analytics can be more accurate than humans for many tasks because computers don't get tired, distracted, or bored. For perimeter detection, our systems achieve 95-99% accuracy with false alarm rates under 2% (vs. 90%+ false alarms for basic motion detection). For counting and tracking, AI consistently outperforms manual methods. However, we recommend AI as a force multiplier - alerting humans to focus on genuine threats rather than replacing security staff entirely.

What are the privacy implications of video analytics?

We take privacy seriously and design systems to comply with GDPR, CCPA, and local regulations. Our analytics can operate in privacy-preserving modes: detecting behavior without identifying individuals, anonymizing faces, or only analyzing designated areas. Face recognition requires explicit consent and is only deployed where legally permitted and ethically appropriate. All data handling follows strict security protocols with encryption, access controls, and audit logs.

Can the system work in challenging conditions like night, rain, or fog?

Yes, though performance varies by conditions. Our models are trained on diverse weather and lighting conditions. For night operation, we support thermal cameras and infrared illumination. Advanced preprocessing enhances low-light footage. In challenging weather (heavy rain, fog, snow), detection ranges may decrease but the system remains functional. We recommend hybrid systems with thermal cameras for critical 24/7 applications.

How do you reduce false alarms while maintaining high detection rates?

We use multiple techniques: (1) Deep learning models trained to distinguish real threats from benign activity, (2) Context awareness - understanding what's normal for your site, (3) Multi-stage verification - confirming detections across multiple frames before alerting, (4) Configurable sensitivity and zones - fine-tuning rules for different areas, (5) Continuous learning from feedback when operators mark false alarms. Most deployments see 90-95% reduction in false alarms compared to basic motion detection.

What's the implementation timeline and cost?

Implementation typically takes 6-12 weeks: 1-2 weeks for site survey and requirements, 2-3 weeks for system configuration and model training, 2-3 weeks for integration and testing, 1-2 weeks for deployment and training. Costs vary by number of cameras, processing requirements, and features needed. Many organizations see ROI within 12-18 months from reduced security staff hours, faster incident response, and prevention of security incidents. We offer pilot programs to demonstrate value before full deployment.

Ready to Transform Your Security Operations?

Schedule a consultation with our video analytics experts. We'll assess your current system, identify opportunities for AI enhancement, and demonstrate how intelligent video analytics can improve security while reducing operational costs.

Based in Lund, Sweden | Serving organizations worldwide